conftrace_

policy learning

702 papers

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Co-occurring keywords

reinforcement learning (4352) imitation learning (744) deep reinforcement learning (903) offline reinforcement learning (492) policy optimization (657) reward function (291) multi-agent system (1819) inverse reinforcement learning (205) markov decision process (790) robot manipulation (262)

Papers

Mastering Complex Control in MOBA Games with Deep Reinforcement Learning AAAI 2020
Providing Uncertainty-Based Advice for Deep Reinforcement Learning Agents (Student Abstract) AAAI 2020
I²HRL: Interactive Influence-based Hierarchical Reinforcement Learning IJCAI 2020
RLCard: A Platform for Reinforcement Learning in Card Games IJCAI 2020
Learning Intrinsic Rewards as a Bi-Level Optimization Problem UAI 2020
Interactive Imitation Learning in State-Space CORL 2020
High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards CORL 2020
KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge IJCAI 2020
Learning Situational Driving CVPR 2020
Exploring Data Aggregation in Policy Learning for Vision-Based Urban Autonomous Driving CVPR 2020
ERLP: Ensembles of Reinforcement Learning Policies (Student Abstract) AAAI 2020
Tree-Structured Policy Based Progressive Reinforcement Learning for Temporally Language Grounding in Video AAAI 2020
Reinforcement Learning of Risk-Constrained Policies in Markov Decision Processes AAAI 2020
Variational Adversarial Kernel Learned Imitation Learning AAAI 2020
Reinforcement Learning with Perturbed Rewards AAAI 2020
An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies AAAI 2020
Proximal Distilled Evolutionary Reinforcement Learning AAAI 2020
RL-Duet: Online Music Accompaniment Generation Using Deep Reinforcement Learning AAAI 2020
Solving Hard AI Planning Instances Using Curriculum-Driven Deep Reinforcement Learning IJCAI 2020
Learning Calibratable Policies using Programmatic Style-Consistency ICML 2020
Model-Free Real-Time Autonomous Energy Management for a Residential Multi-Carrier Energy System: A Deep Reinforcement Learning Approach IJCAI 2020
Belief-Grounded Networks for Accelerated Robot Learning under Partial Observability CORL 2020
Inductive-bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters ICML 2020
Learning Adaptive Segmentation Policy for Simultaneous Translation EMNLP 2020
Learning to Stop: A Simple yet Effective Approach to Urban Vision-Language Navigation EMNLP 2020